| 1ST_TYME_PLAYER vs Jin | 9–4 | 69.23% |
| 1ST_TYME_PLAYER vs Law | 3–5 | 37.50% |
| 1ST_TYME_PLAYER vs Steve | 6–1 | 85.71% |
| 1ST_TYME_PLAYER vs Alisa | 2–5 | 28.57% |
| 1ST_TYME_PLAYER vs Panda | 5–2 | 71.43% |
| 1ST_TYME_PLAYER vs Xiaoyu | 4–2 | 66.67% |
| 1ST_TYME_PLAYER vs Bryan | 4–2 | 66.67% |
| 1ST_TYME_PLAYER vs Nina | 3–2 | 60.00% |
| 1ST_TYME_PLAYER vs Lars | 4–1 | 80.00% |
| 1ST_TYME_PLAYER vs Reina | 4–1 | 80.00% |
| 1ST_TYME_PLAYER vs Paul | 4–0 | 100.00% |
| 1ST_TYME_PLAYER vs Dragunov | 4–0 | 100.00% |
| 1ST_TYME_PLAYER vs Lili | 2–1 | 66.67% |
| 1ST_TYME_PLAYER vs Victor | 1–2 | 33.33% |
| 1ST_TYME_PLAYER vs Eddy | 1–2 | 33.33% |
| 1ST_TYME_PLAYER vs Feng | 1–2 | 33.33% |
| 1ST_TYME_PLAYER vs Yoshimitsu | 2–0 | 100.00% |
| 1ST_TYME_PLAYER vs Hwoarang | 2–0 | 100.00% |
| 1ST_TYME_PLAYER vs Shaheen | 2–0 | 100.00% |
| 1ST_TYME_PLAYER vs King | 0–1 | 0.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.